The Use of AI, Identity Crisis, Quality of Life, and Behavioral Changes: An Interdisciplinary Approach

Topic Information

Dear Colleagues,

1. Background and Purpose

AI currently plays a positive role in improving quality of life for humans in various areas, such as daily life, labor, medical care, and education. At the same time, it causes human identity confusion and alienation and brings important ethical issues to the forefront. This Topic aims to highlight the impact of AI on human identity, changes in quality of life, and social and ethical issues. It invites research that provides an in-depth understanding of human identity chaos, changes in quality of life, and corresponding behavioral changes brought about by AI through an interdisciplinary approach.

2. Potential Subjects

(1) Changes in Artificial Intelligence and Human Identity
- Human self-awareness and identity confusion due to AI development;
- Impact of AI on autonomy, self-confidence, independent creativity, and behavioral modification.

(2) AI and Quality of Life
- Enhancement in life satisfaction and quality of life for vulnerable groups, such as the elderly and disabled people;
- Importance of digital assistance and social support.

(3) Ethical, Social, and Sustainability Issues
- Trust in AI, privacy, and autonomy violations;
- Behavioral modifications to enhance social value and sustainable behavior.

Dr. Sung Joon Yoon
Dr. Wonsik Jung
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
European Journal of Investigation in Health, Psychology and Education ejihpe	3.7	5.1	2011	27 Days	CHF 1600	Submit
Social Sciences socsci	2.0	3.5	2012	30.3 Days	CHF 1800	Submit
Sustainability sustainability	4.1	8.9	2009	16.9 Days	CHF 2400	Submit
Systems systems	3.8	5.4	2013	19.8 Days	CHF 2400	Submit

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Published Papers (3 papers)

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All EJIHPE Social Sciences Sustainability Systems

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20 pages, 392 KB  

Open AccessArticle

When Learning Reinforces Inertia: Organizational Conditions of AI Adoption in the Public Sector

by Hong Yao and Xiaoyang Liu

Systems 2026, 14(6), 688; https://doi.org/10.3390/systems14060688 - 16 Jun 2026

Viewed by 663

Abstract

This study examines how organizational information environments shape AI adoption intention in the public sector. Based on survey data from 1068 civil servants across 31 provincial-level jurisdictions in China, it develops and tests a framework incorporating organizational fit, institutional inertia, perceived workload, and [...] Read more.

This study examines how organizational information environments shape AI adoption intention in the public sector. Based on survey data from 1068 civil servants across 31 provincial-level jurisdictions in China, it develops and tests a framework incorporating organizational fit, institutional inertia, perceived workload, and organizational learning support. The results show that organizational fit facilitates AI adoption, whereas institutional inertia and perceived workload significantly inhibit it. Organizational learning support exhibits context-dependent moderating effects: it strengthens the positive role of fit and mitigates workload-related resistance, but paradoxically amplifies the negative impact of institutional inertia in highly rigid organizations. Heterogeneity analyses further reveal systematic variations across regions, job types, administrative levels, and position ranks. By conceptualizing AI as an embedded organizational information-processing system, this study contributes to understanding AI adoption dynamics in government organizations and highlights the need for context-sensitive learning strategies. Full article

(This article belongs to the Topic The Use of AI, Identity Crisis, Quality of Life, and Behavioral Changes: An Interdisciplinary Approach)

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18 pages, 1039 KB  

Open AccessSystematic Review

From the Digital Divide to Algorithmic Vulnerability: A Systematic Review of Social Stratification in the AI Era (2015–2025)

by Manuel José Mera Cedeño, Gertrudis Amarilis Laínez Quinde, Wilson Alexander Zambrano Vélez and César Ernesto Roldán Martínez

Soc. Sci. 2026, 15(5), 326; https://doi.org/10.3390/socsci15050326 - 15 May 2026

Viewed by 1682

Abstract

The present study seeks to synthesize the scientific evidence from the last decade (2015–2025) regarding the transition from inequality in technological access toward social stratification mediated by automated decision-making systems. Following PRISMA 2020 guidelines and the SPIDER model, a corpus of 74 high-impact [...] Read more.

The present study seeks to synthesize the scientific evidence from the last decade (2015–2025) regarding the transition from inequality in technological access toward social stratification mediated by automated decision-making systems. Following PRISMA 2020 guidelines and the SPIDER model, a corpus of 74 high-impact records from Scopus, Web of Science, ProQuest, and PsycINFO was examined. The results reveal an exponential growth in scientific production since 2018, marking a shift from infrastructure-based inequality toward a systemic stratification mediated by algorithmic opacity. Three critical sectors of exclusion are categorized: the socio-health nexus, the labor market, and the educational ecosystem. Methodologically, quantitative algorithmic auditing predominates (58%), although mixed sociotechnical approaches have increased by 25% since 2021 to capture experiences of intersectional vulnerability. The study concludes that AI acts as an active agent of social reproduction, necessitating a transition toward “Algorithmic Justice” and “Human-Centric Governance.” Finally, a “Reinstating AI” framework is proposed to democratize technological development and mitigate systemic biases, offering a roadmap for researchers and policymakers in the pursuit of technological sovereignty. Full article

(This article belongs to the Topic The Use of AI, Identity Crisis, Quality of Life, and Behavioral Changes: An Interdisciplinary Approach)

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38 pages, 32547 KB  

Open AccessArticle

Recoding Reality: A Case Study of YouTube Reactions to Generative AI Videos

by Levent Çalli and Büşra Alma Çalli

Systems 2025, 13(10), 925; https://doi.org/10.3390/systems13100925 - 21 Oct 2025

Cited by 2 | Viewed by 11999

Abstract

The mainstream launch of generative AI video platforms represents a major change to the socio-technical system of digital media, raising critical questions about public perception and societal impact. While research has explored isolated technical or ethical facets, a holistic understanding of the user [...] Read more.

The mainstream launch of generative AI video platforms represents a major change to the socio-technical system of digital media, raising critical questions about public perception and societal impact. While research has explored isolated technical or ethical facets, a holistic understanding of the user experience of AI-generated videos—as an interrelated set of perceptions, emotions, and behaviors—remains underdeveloped. This study addresses this gap by conceptualizing public discourse as a complex system of interconnected themes. We apply a mixed-methods approach that combines quantitative LDA topic modeling with qualitative interpretation to analyze 11,418 YouTube comments reacting to AI-generated videos. The study’s primary contribution is the development of a novel, three-tiered framework that models user experience. This framework organizes 15 empirically derived topics into three interdependent layers: (1) Socio-Technical Systems and Platforms (the enabling infrastructure), (2) AI-Generated Content and Esthetics (the direct user-artifact interaction), and (3) Societal and Ethical Implications (the emergent macro-level consequences). Interpreting this systemic structure through the lens of the ABC model of attitudes, our analysis reveals the distinct Affective (e.g., the “uncanny valley”), Behavioral (e.g., memetic participation), and Cognitive (e.g., epistemic anxiety) dimensions that constitute the major elements of user experience. This empirically grounded model provides a holistic map of public discourse, offering actionable insights for managing the complex interplay between technological innovation and societal adaptation within this evolving digital system. Full article

(This article belongs to the Topic The Use of AI, Identity Crisis, Quality of Life, and Behavioral Changes: An Interdisciplinary Approach)

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